Summary
Applied Intuition is a Silicon Valley company focused on creating the digital infrastructure for physical AI. They are seeking a Software Engineer to design and build scalable Python-based tooling and infrastructure for their Self-Driving System in Mining and Construction, enabling rapid development and deployment of autonomous systems.
Responsibilities
- Design and build scalable Python-based tooling and infrastructure to support development across the autonomy stack
- Build systems that support fleet management and vehicle communication
- Contribute to the design of scalable systems that support multiple vehicle platforms and operating environments
- Closely collaborate with engineers across the stack
Skills
- Bachelor's in Computer Science, Mathematics, or related field
- 1+ years of experience in shipping complex software in Python
- Experience building backend systems, developer tools, or infrastructure
- A MSc or PhD in computer science or applied mathematics with coursework or research experience in robotics
- Experience with driver assistance or autonomous driving systems or off-road products
Qualifications
Must Haves
- Bachelor's in Computer Science, Mathematics, or related field
- 1+ years of experience in shipping complex software in Python
- Experience building backend systems, developer tools, or infrastructure
Nice to Haves
- A MSc or PhD in computer science or applied mathematics with coursework or research experience in robotics
- Experience with driver assistance or autonomous driving systems or off-road products
Benefits
- Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits.
- Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off.
- Note that benefits are subject to change and may vary based on jurisdiction of employment.